Grants per year
Personal profile
Research Interests
Professor Mehrotra is an expert in methodologies for decision making under uncertainty and its applications to problems in Health Systems Engineering and other Operations Research applications.
His current optimization methodology research focus is in the area of Optimization under Uncertainty, with a focus on Distributionally-Robust risk-based optimization. His healthcare systems engineering work includes policy and operations modeling, using modern operations research tools.
Education/Academic qualification
Operations Research, PhD, Columbia University
… → 1987
Industrial Engineering, MS, Columbia University
… → 1985
Industrial Engineering, BE, Indian Institute of Technology Roorkee
… → 1983
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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GOALI: Nurse Matching to Hospitals Using Static and Dynamic Allocation through an Online Platform
Iravani, S. M. (PD/PI) & Mehrotra, S. (Co-PD/PI)
9/1/23 → 8/31/26
Project: Research project
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Collaborative Research: AMPS: Robust Failure Probability Minimization for Grid Operational Planning with Non-Gaussian Uncertainties
Mehrotra, S. (PD/PI)
12/1/22 → 11/30/25
Project: Research project
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EpiMoRPH: A simulation environment for generating spatially-refined intervention strategies for the control of infectious disease
Mehrotra, S. (PD/PI) & Mehrotra, S. (PD/PI)
Northern Arizona University, National Institute of Allergy and Infectious Diseases
4/1/22 → 3/31/27
Project: Research project
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LIVOPT -- LIVer cirrhosis - Optimizing Prediction of Patient OuTcomes
Ladner, D. P. (PD/PI), Ladner, D. P. (PD/PI), Mehrotra, S. (PD/PI), Mehrotra, S. (PD/PI), Balbale, S. N. (Co-Investigator), Duarte, A. (Co-Investigator), Furmanchuk, A. (Co-Investigator), Furmanchuk, A. (Co-Investigator), Rohan, V. S. (Co-Investigator), VanWagner, L. B. (Co-Investigator), Zhao, L. (Co-Investigator) & Zhao, L. (Co-Investigator)
9/30/21 → 5/31/26
Project: Research project
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Rescuing Kidneys at Risk of Discard
Mehrotra, S. (PD/PI), Mehrotra, S. (PD/PI), Friedewald, J. J. (Co-Investigator), Friedewald, J. J. (Co-Investigator), Gordon, E. (Co-Investigator), Gordon, E. (Co-Investigator), Ladner, D. P. (Co-Investigator), Ladner, D. P. (Co-Investigator), Nelson, B. L. (Other) & Nelson, B. L. (Other)
National Institute of Diabetes and Digestive and Kidney Diseases
4/1/19 → 3/31/25
Project: Research project
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An algorithm for stochastic convex-concave fractional programs with applications to production efficiency and equitable resource allocation
Dey, S., Kim, C. & Mehrotra, S., Jun 16 2024, In: European Journal of Operational Research. 315, 3, p. 980-990 11 p.Research output: Contribution to journal › Article › peer-review
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Editorial: Advancing pandemic preparedness through data analytics and operations research
Bish, E. K., Dai, T. & Mehrotra, S., Sep 2024, In: Naval Research Logistics. 71, 6, p. 890-892 3 p.Research output: Contribution to journal › Editorial › peer-review
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Evaluation of Opening Offers Early for Deceased Donor Kidneys at Risk of Nonutilization
Kilambi, V., Barah, M., Formica, R. N., Friedewald, J. J. & Mehrotra, S., Feb 2024, In: Clinical Journal of the American Society of Nephrology. 19, 2, p. 233-240 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
New Liver Allocation Policy and National Liver Transplant Volume
Ladner, D. P., Manski, C. F. & Mehrotra, S., Aug 14 2024, In: JAMA surgery. 159, 8, p. 947-948 2 p.Research output: Contribution to journal › Comment/debate › peer-review
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Optimization modeling for pandemic vaccine supply chain management: A review and future research opportunities
Dey, S., Kurbanzade, A. K., Gel, E. S., Mihaljevic, J. & Mehrotra, S., 2024, (Accepted/In press) In: Naval Research Logistics.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations
Datasets
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Diversity Subsampling: Custom Subsamples from Large Data Sets
Apley, D. (Creator) & Mehrotra, S. (Creator), Code Ocean, 2023
DOI: 10.24433/co.8309237.v3, https://codeocean.com/capsule/5352375/tree/v3
Dataset